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Manipulating Data

Manipulating Data. Objectives. After completing this lesson, you should be able to do the following: Describe each data manipulation language (DML) statement Insert rows into a table Update rows in a table Delete rows from a table Control transactions. Lesson Agenda.

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Manipulating Data

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  1. Manipulating Data

  2. Objectives • After completing this lesson, you should be able to do the following: • Describe each data manipulation language (DML) statement • Insert rows into a table • Update rows in a table • Delete rows from a table • Control transactions

  3. Lesson Agenda • Adding new rows in a table • INSERT statement • Changing data in a table • UPDATE statement • Removing rows from a table: • DELETE statement • TRUNCATE statement • Database transactions control using COMMIT, ROLLBACK, and SAVEPOINT • Read consistency • FORUPDATE clause in a SELECT statement

  4. Data Manipulation Language • A DML statement is executed when you: • Add new rows to a table • Modify existing rows in a table • Remove existing rows from a table • A transaction consists of a collection of DML statements that form a logical unit of work.

  5. Adding a New Row to a Table New row DEPARTMENTS Insert new rowinto theDEPARTMENTStable.

  6. INSERT Statement Syntax • Add new rows to a table by using the INSERT statement: • With this syntax, only one row is inserted at a time. INSERT INTO table [(column [, column...])] VALUES (value [, value...]);

  7. Inserting New Rows • Insert a new row containing values for each column. • List values in the default order of the columns in the table. • Optionally, list the columns in the INSERT clause. • Enclose character and date values within single quotation marks. INSERT INTO departments(department_id, department_name, manager_id, location_id) VALUES (70, 'Public Relations', 100, 1700);

  8. Inserting Rows with Null Values • Implicit method: Omit the column from the column list. • Explicit method: Specify the NULL keyword in the VALUES clause. INSERT INTO departments (department_id, department_name) VALUES (30, 'Purchasing'); INSERT INTO departments VALUES (100, 'Finance', NULL, NULL);

  9. Inserting Special Values • The SYSDATE function records the current date and time. INSERT INTO employees (employee_id, first_name, last_name, email, phone_number, hire_date, job_id, salary, commission_pct, manager_id, department_id) VALUES (113, 'Louis', 'Popp', 'LPOPP', '515.124.4567', SYSDATE, 'AC_ACCOUNT', 6900, NULL, 205, 110);

  10. Inserting Specific Date and Time Values • Add a new employee. • Verify your addition. INSERT INTO employees VALUES (114, 'Den', 'Raphealy', 'DRAPHEAL', '515.127.4561', TO_DATE('FEB 3, 1999', 'MON DD, YYYY'), 'SA_REP', 11000, 0.2, 100, 60);

  11. Creating a Script • Use & substitution in a SQL statement to prompt for values. • & is a placeholder for the variable value. INSERT INTO departments (department_id, department_name, location_id) VALUES (&department_id, '&department_name',&location);

  12. Copying Rows from Another Table • Write your INSERT statement with a subquery: • Do not use the VALUES clause. • Match the number of columns in the INSERT clause to those in the subquery. • Inserts all the rows returned by the subquery in the table, sales_reps. INSERT INTO sales_reps(id, name, salary, commission_pct) SELECT employee_id, last_name, salary, commission_pct FROM employees WHERE job_id LIKE '%REP%';

  13. Lesson Agenda • Adding new rows in a table • INSERT statement • Changing data in a table • UPDATE statement • Removing rows from a table: • DELETE statement • TRUNCATE statement • Database transactions control using COMMIT, ROLLBACK, and SAVEPOINT • Read consistency • FORUPDATE clause in a SELECT statement

  14. Changing Data in a Table EMPLOYEES Update rows in the EMPLOYEES table:

  15. UPDATE Statement Syntax • Modify existing values in a table with the UPDATE statement: • Update more than one row at a time (if required). UPDATE table SET column = value [, column = value, ...] [WHERE condition];

  16. Updating Rows in a Table • Values for a specific row or rows are modified if you specify the WHERE clause: • Values for all the rows in the table are modified if you omit the WHERE clause: • Specify SETcolumn_name=NULL to update a column value to NULL. UPDATE employees SET department_id = 50 WHERE employee_id = 113; UPDATE copy_emp SET department_id = 110;

  17. Updating Two Columns with a Subquery • Update employee 113’s job and salary to match those of employee 205. UPDATE employees SET job_id = (SELECT job_id FROM employees WHERE employee_id = 205), salary = (SELECT salary FROM employees WHERE employee_id = 205) WHERE employee_id = 113;

  18. Updating Rows Based on Another Table • Use the subqueries in the UPDATE statements to update row values in a table based on values from another table: UPDATE copy_emp SET department_id = (SELECT department_id FROM employees WHERE employee_id = 100) WHERE job_id = (SELECT job_id FROM employees WHERE employee_id = 200);

  19. Lesson Agenda • Adding new rows in a table • INSERT statement • Changing data in a table • UPDATE statement • Removing rows from a table: • DELETE statement • TRUNCATE statement • Database transactions control using COMMIT, ROLLBACK, and SAVEPOINT • Read consistency • FORUPDATE clause in a SELECT statement

  20. Removing a Row from a Table DEPARTMENTS Delete a row from the DEPARTMENTS table:

  21. DELETE Statement • You can remove existing rows from a table by using the DELETE statement: DELETE [FROM] table [WHERE condition];

  22. Deleting Rows from a Table • Specific rows are deleted if you specify the WHERE clause: • All rows in the table are deleted if you omit the WHERE clause: DELETE FROM departments WHERE department_name = ‘Finance'; DELETE FROM copy_emp;

  23. Deleting Rows Based on Another Table • Use the subqueries in the DELETE statements to remove rows from a table based on values from another table: DELETE FROM employees WHERE department_id = (SELECT department_id FROM departments WHERE department_name LIKE '%Public%');

  24. TRUNCATE Statement • Removes all rows from a table, leaving the table empty and the table structure intact • Is a data definition language (DDL) statement rather than a DML statement; cannot easily be undone • Syntax: • Example: TRUNCATE TABLE table_name; TRUNCATE TABLE copy_emp;

  25. Lesson Agenda • Adding new rows in a table • INSERT statement • Changing data in a table • UPDATE statement • Removing rows from a table: • DELETE statement • TRUNCATE statement • Database transactions control using COMMIT, ROLLBACK,and SAVEPOINT • Read consistency • FORUPDATE clause in a SELECT statement

  26. Database Transactions • A database transaction consists of one of the following: • DML statements that constitute one consistent change to the data • One DDL statement • One data control language (DCL) statement

  27. Database Transactions: Start and End • Begin when the first DML SQL statement is executed. • End with one of the following events: • A COMMIT or ROLLBACK statement is issued. • A DDL or DCL statement executes (automatic commit). • The user exits SQL Developer orSQL*Plus. • The system crashes.

  28. Advantages of COMMITand ROLLBACK Statements • With COMMIT and ROLLBACK statements, you can: • Ensure data consistency • Preview data changes before making changes permanent • Group logically-related operations

  29. Explicit Transaction Control Statements Time COMMIT Transaction DELETE SAVEPOINTA INSERT UPDATE SAVEPOINTB INSERT ROLLBACK to SAVEPOINT B ROLLBACK to SAVEPOINT A ROLLBACK

  30. Rolling Back Changes to a Marker • Create a marker in the current transaction by using the SAVEPOINT statement. • Roll back to that marker by using the ROLLBACKTOSAVEPOINT statement. UPDATE... SAVEPOINT update_done; INSERT... ROLLBACK TO update_done;

  31. Implicit Transaction Processing • An automatic commit occurs in the following circumstances: • A DDL statement is issued • A DCL statement is issued • Normal exit from SQL Developer or SQL*Plus, without explicitly issuing COMMIT or ROLLBACK statements • An automatic rollback occurs when there is an abnormal termination of SQL Developer or SQL*Plus or a system failure.

  32. State of the Data Before COMMIT or ROLLBACK • The previous state of the data can be recovered. • The current user can review the results of the DML operations by using the SELECT statement. • Other users cannot view the results of the DML statements issued by the current user. • The affected rows are locked; other users cannot change the data in the affected rows.

  33. State of the Data After COMMIT • Data changes are saved in the database. • The previous state of the data is overwritten. • All users can view the results. • Locks on the affected rows are released; those rows are available for other users to manipulate. • All savepoints are erased.

  34. Committing Data • Make the changes: • Commit the changes: DELETE FROM employees WHERE employee_id = 99999; INSERT INTO departments VALUES (290, 'Corporate Tax', NULL, 1700); COMMIT;

  35. State of the Data After ROLLBACK • Discard all pending changes by using the ROLLBACK statement: • Data changes are undone. • Previous state of the data is restored. • Locks on the affected rows are released. DELETE FROM copy_emp; ROLLBACK ;

  36. State of the Data After ROLLBACK: Example DELETE FROM test; 25,000 rows deleted. ROLLBACK; Rollback complete. DELETE FROM test WHERE id = 100; 1 row deleted. SELECT * FROM test WHERE id = 100; No rows selected. COMMIT; Commit complete.

  37. Statement-Level Rollback • If a single DML statement fails during execution, only that statement is rolled back. • The Oracle server implements an implicit savepoint. • All other changes are retained. • The user should terminate transactions explicitly by executing a COMMIT or ROLLBACK statement.

  38. Lesson Agenda • Adding new rows in a table • INSERT statement • Changing data in a table • UPDATE statement • Removing rows from a table: • DELETE statement • TRUNCATE statement • Database transactions control using COMMIT, ROLLBACK,and SAVEPOINT • Read consistency • FORUPDATE clause in a SELECT statement

  39. Read Consistency • Read consistency guarantees a consistent view of the data at all times. • Changes made by one user do not conflict with the changes made by another user. • Read consistency ensures that, on the same data: • Readers do not wait for writers • Writers do not wait for readers • Writers wait for writers

  40. Implementing Read Consistency User A Datablocks UPDATE employeesSET salary = 7000 WHERE last_name = 'Grant'; Undosegments Changedandunchanged data SELECT *FROM userA.employees; Read-consistentimage Before change(“old” data) User B

  41. Lesson Agenda • Adding new rows in a table • INSERT statement • Changing data in a table • UPDATE statement • Removing rows from a table: • DELETE statement • TRUNCATE statement • Database transactions control using COMMIT, ROLLBACK, and SAVEPOINT • Read consistency • FORUPDATE clause in a SELECT statement

  42. FORUPDATE Clause in a SELECT Statement • Locks the rows in the EMPLOYEES table where job_id is SA_REP. • Lock is released only when you issue a ROLLBACK or a COMMIT. • If the SELECT statement attempts to lock a row that is locked by another user, then the database waits until the row is available, and then returns the results of the SELECT statement. SELECT employee_id, salary, commission_pct, job_id FROM employees WHERE job_id = 'SA_REP' FOR UPDATE ORDER BY employee_id;

  43. FORUPDATE Clause: Examples • You can use the FORUPDATE clause in a SELECT statement against multiple tables. • Rows from both the EMPLOYEES and DEPARTMENTS tables are locked. • Use FORUPDATEOFcolumn_name to qualify the column you intend to change, then only the rows from that specific table are locked. SELECT e.employee_id, e.salary, e.commission_pct FROM employees e JOIN departments d USING (department_id) WHERE job_id = 'ST_CLERK‘ AND location_id = 1500 FOR UPDATE ORDER BY e.employee_id;

  44. Summary • In this lesson, you should have learned how to use the following statements: Function Description INSERT Adds a new row to the table UPDATE Modifies existing rows in the table DELETE Removes existing rows from the table TRUNCATE Removes all rows from a table COMMIT Makes all pending changes permanent SAVEPOINT Is used to roll back to the savepoint marker ROLLBACK Discards all pending data changes FORUPDATE clause in SELECT Locks rows identified by the SELECT query

  45. Practice 9: Overview • This practice covers the following topics: • Inserting rows into the tables • Updating and deleting rows in the table • Controlling transactions

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